monitoring

The Seismos full-scale research center opens to industry, universities, and national laboratories, advancing acoustic sensing across upstream energy, pipelines, critical infrastructure, and national security.

This research focuses on combining physics-based expert rules with machine learning to improve the detection of failure-related events in electrical submersible pumps.

A combination of physics principles and machine-learning techniques is used in this work to develop a virtual flowmeter for oil-production optimization in electrical-submersible-pump-lifted oil wells, resulting in reliable generalization.

This paper presents the deployment of an artificial intelligence-enabled autonomous gas lift optimization system, integrating real-time centralized advanced process control with cloud-based analytics to enhance artificial gas lift performance in producer wells.

The latest edition of ISO 20815 extends the petroleum industry's production assurance and reliability management framework to carbon capture, hydrogen, ammonia, and wind assets.

This paper presents a case study from a mature field redevelopment project where pulsed neutron logging was integrated with advanced reservoir modeling to improve the understanding of fluid-contact dynamics and optimize new horizontal well placement.

This paper aims to showcase examples of how integrated analysis of surveillance data in the Azeri-Chirag-Gunashli field has improved reservoir understanding and informed reservoir-management decisions.

This work applies fuzzy logic, a well-established artificial-intelligence technique, to quantitatively assess connectivity between injectors and producers in a giant presalt field in the Santos Basin of Brazil.

As drilling operations become increasingly digital, computer vision is emerging as a continuous safety layer that complements, not replaces, established safety practices. The challenge is no longer whether artificial intelligence can detect hazards, but how operators should deploy, integrate, and govern these systems to improve safety without adding operational comple…